Influence of graphite and machining parameters on the surface roughness of Al-fly ash/graphite hybrid composite: a Taguchi approach

This paper presents an experimental investigation on the surface roughness of pure commercial Al, Al-15 wt% fly ash, and Al-15 wt% fly ash/1.5 wt% graphite (Gr) composites produced by modified two-step stir casting. The effect of reinforcements and machining parameters such as cutting speed, feed rate, and depth of cut on surface roughness, which greatly influence the performance of the machined product, were analyzed during turning operation. The optimum machining parameters were found in minimizing the surface roughness of the materials by using the Taguchi and ANOVA approach. Results show that the presence of the fly ash particles reduces the surface roughness of composites compared with pure Al. The inclusion of 1.5 wt% Gr in the Al-fly ash composite reduces the surface roughness considerably. A scanning electron microscopy investigation was carried out on the machined surfaces of the tested materials. Confirmation tests were performed to validate the regression models.

[1]  D. Bhattacharyya,et al.  Chip formation in the machining of SiC-particle-reinforced aluminium-matrix composites , 1998 .

[2]  F. O. Rasch,et al.  Machinability of Particulate Aluminium Matrix Composites , 1992 .

[3]  G. Sur,et al.  The effect of Al2O3, TiN and Ti (C,N) based CVD coatings on tool wear in machining metal matrix composites , 2004 .

[4]  L. Geng,et al.  Ultraprecision machining of SiCw/Al composites , 1993 .

[5]  Suhas S. Joshi,et al.  Analysis of chip formation mechanism in machining of Al/SiCp metal matrix composites , 2009 .

[6]  Adel Mahmood Hassan,et al.  The effect of the increase in graphite volumetric percentage on the strength and hardness of Al-4 weight percent Mg-graphite composites , 2002 .

[7]  S. G. Deshmukh,et al.  A genetic algorithmic approach for optimization of surface roughness prediction model , 2002 .

[8]  A. Velayudham,et al.  Study on tool wear and surface roughness in machining of particulate aluminum metal matrix composite-response surface methodology approach , 2010 .

[9]  M. Kök.  A Study on the Machinability of Al2O3 Particle Reinforced Aluminium Alloy Composite , 2009 .

[10]  K. Palanikumar,et al.  Assessment of factors influencing surface roughness on the machining of Al/SiC particulate composites , 2007 .

[11]  J. Paulo Davim,et al.  A note on the determination of optimal cutting conditions for surface finish obtained in turning using design of experiments , 2001 .

[12]  Young Kug Hwang,et al.  Surface roughness and cutting force prediction in MQL and wet turning process of AISI 1045 using design of experiments , 2010 .

[13]  Min-Yang Yang,et al.  Experimental study of surface integrity during end milling of Al/SiC particulate metal–matrix composites , 2008 .

[14]  Adel Mahmood Hassan,et al.  The effect of graphite particles addition on the surface finish of machined Al-4 Wt.% Mg alloys , 2001 .

[15]  Abdulrahman Al-Ahmari,et al.  Predictive machinability models for a selected hard material in turning operations , 2007 .

[16]  Hong Hocheng,et al.  Fundamental turning characteristics of a tribology-favored graphite/aluminum alloy composite material , 1997 .

[17]  Alakesh Manna,et al.  A study on machinability of Al/SiC-MMC , 2003 .

[18]  Ibrahim Ciftci,et al.  CBN cutting tool wear during machining of particulate reinforced MMCs , 2004 .

[19]  S. Joshi,et al.  Modeling of surface roughness in precision machining of metal matrix composites using ANN , 2008 .

[20]  J. Paulo Davim,et al.  Optimization of machining parameters of Al/SiC-MMC with ANOVA and ANN analysis , 2009 .